中国全科医学 ›› 2024, Vol. 27 ›› Issue (36): 4568-4574.DOI: 10.12114/j.issn.1007-9572.2024.0074

• 论著 • 上一篇    下一篇

急性心肌梗死患者血浆前蛋白转化酶枯草溶菌素9水平的影响因素研究

贾佳1,2,3, 刘嘉慧1, 季文君1, 郑博1,3, 王新刚1, 范芳芳1,3, 李寅1, 张龙1, 张岩1,3,*()   

  1. 1.100034 北京市,北京大学第一医院心血管内科
    2.100034 北京市,北京大学第一医院医学统计室
    3.100034 北京市,北京大学第一医院心血管疾病研究所
  • 收稿日期:2024-03-10 修回日期:2024-06-08 出版日期:2024-12-20 发布日期:2024-09-19
  • 通讯作者: 张岩

  • 作者贡献:

    贾佳和刘嘉慧负责数据收集、采集、清洗、指标检测、统计学分析、绘制图表和论文起草撰写;季文君、李寅负责数据收集、采集、指标检测;郑博、王新刚、范芳芳、张龙提出研究思路,设计研究方案,负责统计学分析,论文修订;张岩提出研究思路,设计研究方案,负责最终论文版本修订,并对论文负责。

  • 基金资助:
    国家重点研发计划(2021YFC2500503,2021YFC2500600,2021YFC2500601); 中国心血管健康联盟进阶基金(2019-CCA-ACCESS-112)

Analysis of Influencing Factors of Plasma Proprotein Convertase Subtilisin/Kexin Type 9 in Patients with Acute Myocardial Infarction

JIA Jia1,2,3, LIU Jiahui1, JI Wenjun1, ZHENG Bo1,3, WANG Xingang1, FAN Fangfang1,3, LI Yin1, ZHANG Long1, ZHANG Yan1,3,*()   

  1. 1. Department of Cardiology, Peking University First Hospital, Beijing 100034, China
    2. Department of Biostatistics, Peking University First Hospital, Beijing 100034, China
    3. Institute of Cardiovascular Disease, Peking University First Hospital, Beijing 100034, China
  • Received:2024-03-10 Revised:2024-06-08 Published:2024-12-20 Online:2024-09-19
  • Contact: ZHANG Yan

摘要: 背景 前蛋白转化酶枯草溶菌素9(PCSK9)对脂质代谢起到重要调节作用,急性心肌梗死患者血浆PCSK9水平的影响因素尚未完全阐明。 目的 了解急性心肌梗死患者血浆PCSK9水平的影响因素。 方法 连续纳入2010—2018年于北京大学第一医院心血管内科入院诊断为急性心肌梗死的患者。基线信息采集患者入院时电子病历系统中的现病史、既往史、体格检查相关信息,检测基线血浆PCSK9水平。影响因素分析采用单因素及多因素线性回归模型,通过LASSO法进行筛选并纳入多因素线性回归模型。 结果 共入选996例急性心肌梗死患者,其中37例患者因留存血样容量不足无PCSK9检测结果,共959例患者纳入分析,PCSK9水平为543.1(425.4,692.1)ng/mL。多因素回归分析结果显示,性别是影响急性心肌梗死患者PCSK9水平最大的因素(标准化回归系数为0.13),其余对PCSK9水平影响较大的因素依次为:心房颤动病史(标准化回归系数为0.09)、白细胞计数(标准化回归系数为0.07)及血尿酸水平(标准化回归系数为0.07)。 结论 在急性心肌梗死患者中,性别、心房颤动病史、白细胞计数及血尿酸水平与血浆PCSK9水平显著独立相关。

关键词: 前蛋白转化酶枯草溶菌素9, 急性心肌梗死, 胆固醇, 冠心病, 影响因素分析

Abstract:

Background

Proprotein convertase subtilisin/kexin type 9 (PCSK9) plays a crucial role in lipid metabolism. The factors influencing PCSK9 in acute myocardial infarction (AMI) patients have not been fully understood.

Objective

To investigate the influence factors of PCSK9 among AMI patients.

Methods

Patients with an admission diagnosis of AMI between 2010 and 2018 were consecutively enrolled in the Department of Cardiology, Peking University First Hospital. Baseline information was collected from patients' current history, past history, and physical examination in the electronic medical record system at admission, and baseline plasma PCSK9 levels were measured. The related factors of PCSK9 were analyzed using univariate and multivariate linear regressions. The LASSO method was employed, the selected variables were subsequently included in the analysis of a multivariate linear regression model.

Results

996 AMI patients were consecutively enrolled from 2010 to 2018, and 37 patients with no PCSK9 measurement results due to insufficient volume of retained blood samples were excluded. A total of 959 patients were included in the analysis. The median PCSK9 levels were 543.1 (425.4, 692.1) ng/mL. The multivariate linear regression analysis of non-genetic factors of PCSK9 showed that gender had the greatest effect (standardized regression coefficient was 0.13). Other significant factors related to PCSK9 levels were history of atrial fibrillation (standardized regression coefficient was 0.09), white blood cell count (standardized regression coefficient was 0.07) and uric acid levels (standardized regression coefficient was 0.07) .

Conclusion

In patients with AMI, gender, history of atrial fibrillation, blood white blood cell count, and uric acid levels were significant independent factors related to plasma PCSK9 levels.

Key words: Proprotein convertase subtilisin/kexin type 9, Acute myocardial infarction, Cholesterol, Coronary artery disease, Root cause analysis

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